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Courses » Mathematical Methods and Techniques in Signal Processing
Week 2 - Vector Spaces - II
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Week 0 - Background and Prerequisites
Week 1 - Introduction to Signal Processing, State Space Representation and Vector Spaces - I
Week 2 - Vector Spaces - II
Linear independence and spanning set
Unique representation theorem Basis and cardinality of basis Norms and inner product spaces Inner products and induced norm Cauchy Schwartz inequality Orthonormality
Due on 2019-02-13, 23:59 IST.
1)
1 point
2) 1.5 points
Assignment 02
The due date for submitting this assignment has passed.
As per our records you have not submitted this assignment.
Instructions:
Attempt all questions.
1.
Submission deadline: 13th February 2019 23:55 IST 2.
Solutions to be posted: 14th February 2019 3.
Older browsers might show unnecessary vertical bars at the end of math equations 4.
Consider the vectors and in . Let us consider the inner product,
where . and represent the element of and respectively.
For what value of are the vectors and orthogonal?
No, the answer is incorrect.
Score: 0
Accepted Answers:
(Type: Numeric) 2
Let be a subset of where
Let be the linear span of . What is the dimension of ? 2
3
u = ⎡
⎣ ⎢ 1 1 1
⎤
⎦ ⎥ v = ⎡
⎣ ⎢ 1
−2 3
⎤
⎦ ⎥ R
3⟨u, v⟩ = u
1v
1+ b( u
2v
2) + u
3v
3b ∈ R u
iv
ii
thu v
b u v
S = {a, b, c, d} R
5a = , b = , c = , d =
⎡
⎣
⎢⎢ ⎢⎢
⎢⎢
1 0 1 3 0
⎤
⎦
⎥⎥ ⎥⎥
⎥⎥
⎡
⎣
⎢⎢ ⎢⎢
⎢⎢
0 1 3 1 0
⎤
⎦
⎥⎥ ⎥⎥
⎥⎥
⎡
⎣
⎢⎢ ⎢⎢
⎢⎢
1 1 4 4 0
⎤
⎦
⎥⎥ ⎥⎥
⎥⎥
⎡
⎣
⎢⎢ ⎢⎢
⎢⎢
0 0 0 0 1
⎤
⎦
⎥⎥ ⎥⎥
⎥⎥
L[S] S L[S]
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Week 3 - Vector Spaces - III and Signal Geometry
Week 4 - Probability and Random Processes
Week 5 - Sampling Theorem and Multirate Systems - I
Week 6 - Multirate Systems - II
Week 7 - Multirate Systems - III
Week 8 - Multirate Systems - IV
Week 9 - Wavelets - I
Week 10 - Wavelets - II and Continuity of Functions
Week 11 - Fourier Series - I
Week 12 - Fourier Series - II and KL Transform
Interaction Session
Problem on sum of subspaces Quiz : Assignment 02 Assignment 2 - Solutions
3) 1.5 points
4) 1.5 points
5) 2 points
4 5
No, the answer is incorrect.
Score: 0
Accepted Answers:
3
Consider the vectors and in . Using which of
the following sets can these vectors be represented uniquely?
None of the above No, the answer is incorrect.
Score: 0
Accepted Answers:
The -norm of over is
No, the answer is incorrect.
Score: 0
Accepted Answers:
Consider vectors such that and . Let be the
angle between and . Let be the angle between and . Which of the following relations does and always satisfy?
No relation exists.
u = [1 − 2 3]
Tv = [−2 4 − 6]
TR
3A = {[1 − 2 3 } ]
TB = {[1 0 0 , [0 0 1 } ]
T]
TC = {[1 − 2 3 , [−2 4 − 6 } ]
T]
TA = {[1 − 2 3 } ]
TL
2g(x) = 5 − 3x x
2− 1 [0, 1]
56
√ −−
256
√ −−
76
√ −−
56
√
76
√ −−
x, y, z ∈ R
2y = x − z ||x|| = ||z|| θ
1x y θ
2z y
θ
1θ
2|cos θ
1| = |cos θ
2|
| cos θ
1|
2+ | cos θ
2|
2= 1
| cos θ
1|
2+ | sin θ
2|
2= 1
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6) 2 points
7)
2 points 8)
2.5 points
9) 3 points
No, the answer is incorrect.
Score: 0
Accepted Answers:
If and are orthogonal vectors in the inner product space , such
that and , then what is the value of and ?
No, the answer is incorrect.
Score: 0
Accepted Answers:
Find the dimension of the plane in .
No, the answer is incorrect.
Score: 0
Accepted Answers:
(Type: Numeric) 2
Let and be subspaces of the vector space of matrices defined over integers. Then, subspace is said to be the direct sum
of and if and .The basis of the subspaces are given by
and . For what value
of is not a direct sum?
No, the answer is incorrect.
Score: 0
Accepted Answers:
(Type: Numeric) 3
Let be a linearly independent set in , which of the following are true?
The set is linearly independent.
The set is linearly independent.
|cos θ
1| = |cos θ
2|
| cos θ
1|
2+ | sin θ
2|
2= 1
u v V
||u|| = 6 ||u + v|| = 10 ||v|| ||u − v||
4, 2 8, 10 6, 12 8, 28 √ −−
8, 10
2x − 3y = 0 R
3A B 2 × 2
C
A B C = A + B A ∩ B = {[ 0 ]}
0 0 0
= {[ ] , [ ]}
B
Am − 12
0 9
m 0 1 m
2 B
B= {[ m ]}
1 0 m C = A + B 1
S = { , , } u
1u
2u
3R
n{ + , + , + } u
1u
2u
2u
3u
3u
1{ − , − , − } u
1u
2u
2u
3u
3u
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10) 3 points
The set is linearly independent.
The set is linearly independent.
No, the answer is incorrect.
Score: 0
Accepted Answers:
The set is linearly independent.
The set is linearly independent.
The set is linearly independent.
What is the maximum value of subject to the
constraint ?
0 1 2 3
No, the answer is incorrect.
Score: 0
Accepted Answers:
2
{ , + , + + } u
1u
1u
2u
1u
2u
3{ − 2 , − 2 , − 2 } u
1u
2u
2u
3u
3u
1{ + , + , + } u
1u
2u
2u
3u
3u
1{ , + , + + } u
1u
1u
2u
1u
2u
3{ − 2 , − 2 , − 2 } u
1u
2u
2u
3u
3u
1x − 2y + z + 2 + = 1
x
2y
2z
2Previous Page End
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